2026-10-09T15:39:20Z https://data.mendeley.com/oai

oai:data.mendeley.com/b38th3cswk.1 2026-08-26T12:54:14Z

KUMARI, PRIYANSHI Empowering Sustainable Vertical Farming Through IoT and AI-Driven Technologies: A technical Blueprint with insights from the UK and India Mendeley Data This repository contains the code and data provenance documentation supporting the review article "Empowering Sustainable Vertical Farming Through IoT and AI-Driven Technologies: A Technical Blueprint with Insights from the UK and India" . As a systematic PRISMA-based literature review, the study does not involve original experimental or primary data collection; instead, all quantitative values used in the manuscript's tables and figures were extracted and synthesised from previously published peer-reviewed literature, industry reports, and government/institutional publications through a four-stage process of extraction, cross-validation, standardisation, and weighted averaging, with full source citations provided in the manuscript. This repository includes the Jupyter notebook (vf_final_images.ipynb) used to generate the manuscript's illustrative figures (urban population/arable land/VF adoption trends, soilless cultivation technology performance comparisons, the multi-layer IoT architecture diagram, and the UK–India comparative climate, market, and consumer analysis charts) from these literature-derived values, along with a README documenting data provenance, methodology, and reproduction instructions. Artificial Intelligence Internet of Things Agriculture Sulthana , Razia Dataset doi:10.17632/b38th3cswk.1 oai:data.mendeley.com/b38th3cswk.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/b38th3cswk 2026-08-26T12:54:14Z